Section outline

  • Module 2: Data Preprocessing and Cleaning

    • 2.1 Data Collection and Integration
      • Data sources: Structured, semi-structured, and unstructured data
      • APIs, web scraping, and database integration
    • 2.2 Data Cleaning
      • Handling missing data
      • Outlier detection and treatment
      • Data normalization and transformation